Badong Chen

According to our database1, Badong Chen authored at least 351 papers between 2007 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Generalized kernel maximum correntropy criterion with variable center: Formulation and performance analysis.
Signal Process., March, 2024

Discrete correntropy-based multi-view anchor-graph clustering.
Inf. Fusion, March, 2024

Anchor-graph regularized orthogonal concept factorization for document clustering.
Neurocomputing, March, 2024

Matrix randomized autoencoder.
Pattern Recognit., February, 2024

P-Norm Based Subband Adaptive Filtering Algorithm: Performance Analysis and Improvements.
Circuits Syst. Signal Process., February, 2024

Differential Equation-Informed Neural Networks for State-of-Charge Estimation.
IEEE Trans. Instrum. Meas., 2024

Hierarchical Large Language Models in Cloud Edge End Architecture for Heterogeneous Robot Cluster Control.
CoRR, 2024

Automatic Robotic Development through Collaborative Framework by Large Language Models.
CoRR, 2024

Nonlinear subspace clustering by functional link neural networks.
CoRR, 2024

2023
SNIB: Improving Spike-Based Machine Learning Using Nonlinear Information Bottleneck.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Correntropy-Based Low-Rank Matrix Factorization With Constraint Graph Learning for Image Clustering.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Identification of Hammerstein Systems with Random Fourier Features and Kernel Risk Sensitive Loss.
Neural Process. Lett., December, 2023

Personalized gait trajectory generation based on anthropometric features using Random Forest.
J. Ambient Intell. Humaniz. Comput., December, 2023

Quantized minimum error entropy with fiducial points for robust regression.
Neural Networks, November, 2023

ECCA: Efficient Correntropy-Based Clustering Algorithm With Orthogonal Concept Factorization.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Multiview Clustering via Hypergraph Induced Semi-Supervised Symmetric Nonnegative Matrix Factorization.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

Correntropy-Based Logistic Regression With Automatic Relevance Determination for Robust Sparse Brain Activity Decoding.
IEEE Trans. Biomed. Eng., August, 2023

Multi-scale attention and dilation network for small defect detection.
Pattern Recognit. Lett., August, 2023

CANet: Contextual Information and Spatial Attention Based Network for Detecting Small Defects in Manufacturing Industry.
Pattern Recognit., August, 2023

Hypergraph based semi-supervised symmetric nonnegative matrix factorization for image clustering.
Pattern Recognit., May, 2023

Robust anchor-based multi-view clustering via spectral embedded concept factorization.
Neurocomputing, April, 2023

Partial Discharge Location Algorithm Based on Total Least-Squares With Matérn Kernel in Cable Systems.
IEEE Trans. Ind. Informatics, March, 2023

Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation.
IEEE Trans. Circuits Syst. Video Technol., March, 2023

Mixture correntropy based robust multi-view K-means clustering.
Knowl. Based Syst., February, 2023

A graph-based two-stage classification network for mobile screen defect inspection.
Frontiers Inf. Technol. Electron. Eng., February, 2023

Tolerating Annotation Displacement in Dense Object Counting via Point Annotation Probability Map.
IEEE Trans. Image Process., 2023

Few-Shot Classification of Screen Defects With Class-Agnostic Mask and Context-Based Classifier.
IEEE Trans. Instrum. Meas., 2023

Robust Dynamic State Estimation for DFIG via the Generalized Maximum Correntropy Criterion Ensemble Kalman Filter.
IEEE Trans. Instrum. Meas., 2023

Cubic B-Spline-Based Feature Tracking for Visual-Inertial Odometry With Event Camera.
IEEE Trans. Instrum. Meas., 2023

An Efficient Parameter Optimization of Maximum Correntropy Criterion.
IEEE Signal Process. Lett., 2023

Robust kernel adaptive filtering for nonlinear time series prediction.
Signal Process., 2023

Special issue on smart healthcare: artificial intelligence in biomedicine.
J. Ambient Intell. Humaniz. Comput., 2023

Multikernel correntropy based robust least squares one-class support vector machine.
Neurocomputing, 2023

Distributed optimization for consensus performance of delayed fractional-order double-integrator multi-agent systems.
Neurocomputing, 2023

Event-triggered consensus control based on maximum correntropy criterion for discrete-time multi-agent systems.
Neurocomputing, 2023

Robust one-class classification with support vector data description and mixed exponential loss function.
Eng. Appl. Artif. Intell., 2023

Enhanced Latent Multi-view Subspace Clustering.
CoRR, 2023

Improving Cross-domain Few-shot Classification with Multilayer Perceptron.
CoRR, 2023

Prompt-based Distribution Alignment for Unsupervised Domain Adaptation.
CoRR, 2023

Head-Tail Cooperative Learning Network for Unbiased Scene Graph Generation.
CoRR, 2023

On the Adversarial Robustness of Generative Autoencoders in the Latent Space.
CoRR, 2023

Gate Recurrent Unit Network based on Hilbert-Schmidt Independence Criterion for State-of-Health Estimation.
CoRR, 2023

CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis.
CoRR, 2023

Optimal Subband Adaptive Filtering Algorithm Over Functional Link Neural Network.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

DynBrainGNN: Towards Spatio-Temporal Interpretable Graph Neural Network Based on Dynamic Brain Connectome for Psychiatric Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Adaptive sparseness for correntropy-based robust regression via automatic relevance determination.
Proceedings of the International Joint Conference on Neural Networks, 2023

Identification of Predictive Subnetwork for Brain Network-Based Psychiatric Diagnosis: An Information-Theoretic Perspective.
Proceedings of the IEEE International Conference on Acoustics, 2023

Sequential Invariant Information Bottleneck.
Proceedings of the IEEE International Conference on Acoustics, 2023

Towards a More Stable and General Subgraph Information Bottleneck.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learning to Generate an Unbiased Scene Graph by Using Attribute-Guided Predicate Features.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Dual Extended Kalman Filter Under Minimum Error Entropy With Fiducial Points.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Novel Robust Kalman Filtering Framework Based on Normal-Skew Mixture Distribution.
IEEE Trans. Syst. Man Cybern. Syst., 2022

An Efficient Distributed Kalman Filter Over Sensor Networks With Maximum Correntropy Criterion.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Mixture Correntropy-Based Kernel Extreme Learning Machines.
IEEE Trans. Neural Networks Learn. Syst., 2022

Perturbation of Spike Timing Benefits Neural Network Performance on Similarity Search.
IEEE Trans. Neural Networks Learn. Syst., 2022

Transductive Semisupervised Deep Hashing.
IEEE Trans. Neural Networks Learn. Syst., 2022

Restricted Minimum Error Entropy Criterion for Robust Classification.
IEEE Trans. Neural Networks Learn. Syst., 2022

Square Root Unscented Kalman Filter With Modified Measurement for Dynamic State Estimation of Power Systems.
IEEE Trans. Instrum. Meas., 2022

Multikernel Correntropy for Robust Learning.
IEEE Trans. Cybern., 2022

Efficient and Robust MultiView Clustering With Anchor Graph Regularization.
IEEE Trans. Circuits Syst. Video Technol., 2022

Asymmetric Correntropy for Robust Adaptive Filtering.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Cascaded Random Fourier Filter for Robust Nonlinear Active Noise Control.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

General Robust Subband Adaptive Filtering: Algorithms and Applications.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Feature-Specific Denoising of Neural Activity for Natural Image Identification.
IEEE Trans. Cogn. Dev. Syst., 2022

Augmented Nonlinear Least Squares Estimation With Applications to Localization.
IEEE Trans. Aerosp. Electron. Syst., 2022

Robust Sparsity-Aware RLS Algorithms With Jointly-Optimized Parameters Against Impulsive Noise.
IEEE Signal Process. Lett., 2022

Efficient correntropy-based multi-view clustering with anchor graph embedding.
Neural Networks, 2022

Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering.
Neural Networks, 2022

Region-aware network: Model human's Top-Down visual perception mechanism for crowd counting.
Neural Networks, 2022

Causality detection with matrix-based transfer entropy.
Inf. Sci., 2022

Dual semi-supervised convex nonnegative matrix factorization for data representation.
Inf. Sci., 2022

Robust strong tracking unscented Kalman filter for non-linear systems with unknown inputs.
IET Signal Process., 2022

An Adaptive Rapidly-Exploring Random Tree.
IEEE CAA J. Autom. Sinica, 2022

Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration.
IEEE CAA J. Autom. Sinica, 2022

Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion.
Entropy, 2022

Complementary mean square deviation and stability analyses of the widely linear recursive least squares algorithm.
Digit. Signal Process., 2022

Study of General Robust Subband Adaptive Filtering.
CoRR, 2022

BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck.
CoRR, 2022

Study of Robust Sparsity-Aware RLS algorithms with Jointly-Optimized Parameters for Impulsive Noise Environments.
CoRR, 2022

Robust stable iterated unscented Kalman filter based on maximum correntropy criterion.
Autom., 2022

Lightweight Generative Adversarial Networks Based on Ghost Module.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022

General Robust Subband Adaptive Filtering for Echo Cancellation.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Orthogonal Maximum Correntropy Learning.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Adversarial Training for the Adversarial Robustness of EEG-Based Brain-Computer Interfaces.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

3D-MBNet: Intention Based Multimodal Vehicle Trajectory Prediction with 3D Social Convolution.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Multi-View Information Bottleneck Without Variational Approximation.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Affine-Projection Lorentzian Algorithm for Vehicle Hands-Free Echo Cancellation.
IEEE Trans. Veh. Technol., 2021

Linear and Nonlinear Regression-Based Maximum Correntropy Extended Kalman Filtering.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Effects of Outliers on the Maximum Correntropy Estimation: A Robustness Analysis.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Minimum Error Entropy Kalman Filter.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Broad Learning System Based on Maximum Correntropy Criterion.
IEEE Trans. Neural Networks Learn. Syst., 2021

Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning.
IEEE Trans. Ind. Electron., 2021

Point Set Registration With Similarity and Affine Transformations Based on Bidirectional KMPE Loss.
IEEE Trans. Cybern., 2021

Correntropy-Based Multiview Subspace Clustering.
IEEE Trans. Cybern., 2021

Robust High-Order Manifold Constrained Low Rank Representation for Subspace Clustering.
IEEE Trans. Circuits Syst. Video Technol., 2021

2-D Learned Proximal Gradient Algorithm for Fast Sparse Matrix Recovery.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Fixed-Point Minimum Error Entropy With Sparsity Penalty Constraints.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

An Encoding Framework With Brain Inner State for Natural Image Identification.
IEEE Trans. Cogn. Dev. Syst., 2021

Numerically stable minimum error entropy Kalman filter.
Signal Process., 2021

A survey on active noise control in the past decade - Part I: Linear systems.
Signal Process., 2021

A survey on active noise control in the past decade-Part II: Nonlinear systems.
Signal Process., 2021

Multi-style learning for adaptation of perception intelligence in home service robots.
Pattern Recognit. Lett., 2021

Robust semi-supervised nonnegative matrix factorization for image clustering.
Pattern Recognit., 2021

Associations between MSE and SSIM as cost functions in linear decomposition with application to bit allocation for sparse coding.
Neurocomputing, 2021

Online robust echo state broad learning system.
Neurocomputing, 2021

Joint UAVs' Load Balancing and UEs' Data Rate Fairness Optimization by Diffusion UAV Deployment Algorithm in Multi-UAV Networks.
Entropy, 2021

A survey on active noise control techniques - Part II: Nonlinear systems.
CoRR, 2021

A survey on active noise control techniques - Part I: Linear systems.
CoRR, 2021

Partial Maximum Correntropy Regression for Robust Trajectory Decoding from Noisy Epidural Electrocorticographic Signals.
CoRR, 2021

Error Loss Networks.
CoRR, 2021

Robust Pose Estimation Based on Maximum Correntropy Criterion.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021

Robust Motion Averaging under Maximum Correntropy Criterion.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Learning Proximal Operator Methods for Nonconvex Sparse Recovery with Theoretical Guarantee.
IEEE Trans. Signal Process., 2020

Fixed-Point Minimum Error Entropy With Fiducial Points.
IEEE Trans. Signal Process., 2020

Variable Step-Size Widely Linear Complex-Valued Affine Projection Algorithm and Performance Analysis.
IEEE Trans. Signal Process., 2020

Augmented Space Linear Models.
IEEE Trans. Signal Process., 2020

Robust Matrix Completion via Maximum Correntropy Criterion and Half-Quadratic Optimization.
IEEE Trans. Signal Process., 2020

Common Spatial Patterns Based on the Quantized Minimum Error Entropy Criterion.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Probability Density Rank-Based Quantization for Convex Universal Learning Machines.
IEEE Trans. Neural Networks Learn. Syst., 2020

Training Cascade Compact CNN With Region-IoU for Accurate Pedestrian Detection.
IEEE Trans. Intell. Transp. Syst., 2020

Accurate Pedestrian Detection by Human Pose Regression.
IEEE Trans. Image Process., 2020

Robust Power System State Estimation With Minimum Error Entropy Unscented Kalman Filter.
IEEE Trans. Instrum. Meas., 2020

Sparsity Constrained Recursive Generalized Maximum Correntropy Criterion With Variable Center Algorithm.
IEEE Trans. Circuits Syst., 2020

A Separable Maximum Correntropy Adaptive Algorithm.
IEEE Trans. Circuits Syst., 2020

Robust Generalized Maximum Correntropy Criterion Algorithms for Active Noise Control.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

M-Estimate Based Normalized Subband Adaptive Filter Algorithm: Performance Analysis and Improvements.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

A New Robust Kalman Filter With Adaptive Estimate of Time-Varying Measurement Bias.
IEEE Signal Process. Lett., 2020

Adaptive filtering with quantized minimum error entropy criterion.
Signal Process., 2020

Diffusion adaptation framework for compressive sensing reconstruction.
Signal Process., 2020

Robust rigid registration algorithm based on pointwise correspondence and correntropy.
Pattern Recognit. Lett., 2020

Regularized correntropy criterion based semi-supervised ELM.
Neural Networks, 2020

Robust orthogonal nonnegative matrix tri-factorization for data representation.
Knowl. Based Syst., 2020

EMG-Based Gestures Classification Using a Mixed-Signal Neuromorphic Processing System.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Robust nonnegative matrix factorization with local coordinate constraint for image clustering.
Eng. Appl. Artif. Intell., 2020

Robust Motion Averaging under MaximumCorrentropy Criterion.
CoRR, 2020

Robust Sparse Channel Estimation Based on Maximum Mixture Correntropy Criterion.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

MI3DNet: A Compact CNN for Motor Imagery EEG Classification with Visualizable Dense Layer Parameters.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Neuromorphic Implementation of a Recurrent Neural Network for EMG Classification.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
Weakly Convex Regularized Robust Sparse Recovery Methods With Theoretical Guarantees.
IEEE Trans. Signal Process., 2019

Quantized Minimum Error Entropy Criterion.
IEEE Trans. Neural Networks Learn. Syst., 2019

Extreme Learning Machine With Affine Transformation Inputs in an Activation Function.
IEEE Trans. Neural Networks Learn. Syst., 2019

Unscented Kalman Filter With Generalized Correntropy Loss for Robust Power System Forecasting-Aided State Estimation.
IEEE Trans. Ind. Informatics, 2019

A Novel Prognostic Approach for RUL Estimation With Evolving Joint Prediction of Continuous and Discrete States.
IEEE Trans. Ind. Informatics, 2019

Maximum Correntropy Criterion-Based Sparse Subspace Learning for Unsupervised Feature Selection.
IEEE Trans. Circuits Syst. Video Technol., 2019

Robust High-Order Manifold Constrained Sparse Principal Component Analysis for Image Representation.
IEEE Trans. Circuits Syst. Video Technol., 2019

Linear Kalman Filtering Algorithm With Noisy Control Input Variable.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Blocked Maximum Correntropy Criterion Algorithm for Cluster-Sparse System Identifications.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Maximum Total Correntropy Diffusion Adaptation Over Networks With Noisy Links.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

A Novel Brain Decoding Method: A Correlation Network Framework for Revealing Brain Connections.
IEEE Trans. Cogn. Dev. Syst., 2019

Brain-Inspired Cognitive Model With Attention for Self-Driving Cars.
IEEE Trans. Cogn. Dev. Syst., 2019

Maximum Correntropy Criterion With Variable Center.
IEEE Signal Process. Lett., 2019

Granger Causality Analysis Based on Quantized Minimum Error Entropy Criterion.
IEEE Signal Process. Lett., 2019

RGB-D point cloud registration via infrared and color camera.
Multim. Tools Appl., 2019

Maximum correntropy adaptation approach for robust compressive sensing reconstruction.
Inf. Sci., 2019

Functional Source Separation for EEG-fMRI Fusion: Application to Steady-State Visual Evoked Potentials.
Frontiers Neurorobotics, 2019

Asymmetric Correntropy for Robust Adaptive Filtering.
CoRR, 2019

Robust Logistic Regression against Attribute and Label Outliers via Information Theoretic Learning.
CoRR, 2019

Multi-Kernel Correntropy for Robust Learning.
CoRR, 2019

Robust Normalized Least Mean Absolute Third Algorithms.
IEEE Access, 2019

Dual Graph Regularized Sparse Nonnegative Matrix Factorization for Data Representation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Exploring Brain Effective Connectivity in Visual Perception Using a Hierarchical Correlation Network.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

An Enhanced Hierarchical Extreme Learning Machine with Random Sparse Matrix Based Autoencoder.
Proceedings of the IEEE International Conference on Acoustics, 2019

Mixed-Norm Based Broad Learning System for EEG Classification.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Online Recorded Data-Based Composite Neural Control of Strict-Feedback Systems With Application to Hypersonic Flight Dynamics.
IEEE Trans. Neural Networks Learn. Syst., 2018

Insights Into the Robustness of Minimum Error Entropy Estimation.
IEEE Trans. Neural Networks Learn. Syst., 2018

Correntropy-Based Evolving Fuzzy Neural System.
IEEE Trans. Fuzzy Syst., 2018

Fairness constrained diffusion adaptive power control for dense small cell network.
Telecommun. Syst., 2018

Robust Learning With Kernel Mean p-Power Error Loss.
IEEE Trans. Cybern., 2018

Kernel Online Learning Algorithm With Scale Adaptation.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

Random Fourier Filters Under Maximum Correntropy Criterion.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Robust Constrained Adaptive Filtering Under Minimum Error Entropy Criterion.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

Robust Adaptive Algorithm for Smart Antenna System With α-Stable Noise.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

Reconstruction of Visual Image From Functional Magnetic Resonance Imaging Using Spiking Neuron Model.
IEEE Trans. Cogn. Dev. Syst., 2018

Robust Matching Pursuit Extreme Learning Machines.
Sci. Program., 2018

Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments.
Signal Image Video Process., 2018

Bias compensated zero attracting normalized least mean square adaptive filter and its performance analysis.
Signal Process., 2018

Bias-compensated normalized maximum correntropy criterion algorithm for system identification with noisy input.
Signal Process., 2018

Correntropy Based Divided Difference Filtering for the Positioning of Ships.
Sensors, 2018

Sparse Support Matrix Machine.
Pattern Recognit., 2018

Mixture correntropy for robust learning.
Pattern Recognit., 2018

Chebyshev Functional Link Artificial Neural Network Based on Correntropy Induced Metric.
Neural Process. Lett., 2018

A novel spiking neural network of receptive field encoding with groups of neurons decision.
Frontiers Inf. Technol. Electron. Eng., 2018

Exploiting the categorical reliability difference for binary classification.
J. Frankl. Inst., 2018

Kernel recursive generalized mixed norm algorithm.
J. Frankl. Inst., 2018

An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization.
J. Frankl. Inst., 2018

Convergence analysis of nonlinear Kalman filters with novel innovation-based method.
Neurocomputing, 2018

Correntropy based graph regularized concept factorization for clustering.
Neurocomputing, 2018

Set-membership improved normalised subband adaptive filter algorithms for acoustic echo cancellation.
IET Signal Process., 2018

Multivariate Correlation Entropy and Law Discovery in Large Data Sets.
IEEE Intell. Syst., 2018

Consistency-aware Shading Orders Selective Fusion for Intrinsic Image Decomposition.
CoRR, 2018

Remaining Useful Life Estimation of Aero-Engines with Self-Joint Prediction of Continuous and Discrete States.
CoRR, 2018

Deep Weighted Extreme Learning Machine.
Cogn. Comput., 2018

A contralateral channel guided model for EEG based motor imagery classification.
Biomed. Signal Process. Control., 2018

Sparse Recursive Least Mean p-Power Extreme Learning Machine for Regression.
IEEE Access, 2018

Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data.
IEEE Access, 2018

Sparse Normalized Least Mean Absolute Deviation Algorithm Based on Unbiasedness Criterion for System Identification With Noisy Input.
IEEE Access, 2018

Building Correspondence Based on Matching Triangles for Partial Registration.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Precise Point Set Registration with Color Assisted and Correntropy for 3D Reconstruction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Causality Analysis based on Matrix Transfer Entropy.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Precise Point Set Registration Using Point-to-Plane Distance and Correntropy for LiDAR Based Localization.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Robust sparse nonnegative matrix factorization based on maximum correntropy criterion.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Generalized Maximum Correntropy-Based Echo State Network for Robust Nonlinear System Identification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Robust Locality Preserving Projection Based on Kernel Risk-Sensitive Loss.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Incremental Adaptive EEG Classification of Motor Imagery-based BCI.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Augmented Space Linear Model.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Unified Framework of Random Feature KLMS Algorithms and Convergence Analysis.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An Incremental Self-Learning Algorithm with Robustness against Impulsive Noise.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Kernel Adaptive Hammerstein Filter.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering.
IEEE Trans. Signal Process., 2017

Disturbance Observer Based Composite Learning Fuzzy Control of Nonlinear Systems with Unknown Dead Zone.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Density-Dependent Quantized Least Squares Support Vector Machine for Large Data Sets.
IEEE Trans. Neural Networks Learn. Syst., 2017

Correntropy Maximization via ADMM: Application to Robust Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2017

Improved affine projection subband adaptive filter for high background noise environments.
Signal Process., 2017

A correntropy inspired variable step-size sign algorithm against impulsive noises.
Signal Process., 2017

Maximum total correntropy adaptive filtering against heavy-tailed noises.
Signal Process., 2017

Constrained maximum correntropy adaptive filtering.
Signal Process., 2017

State space maximum correntropy filter.
Signal Process., 2017

Recursive least mean p-power Extreme Learning Machine.
Neural Networks, 2017

Hybrid-augmented intelligence: collaboration and cognition.
Frontiers Inf. Technol. Electron. Eng., 2017

Maximum correntropy unscented filter.
Int. J. Syst. Sci., 2017

Robust echo state networks based on correntropy induced loss function.
Neurocomputing, 2017

Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification.
Int. J. Comput. Vis., 2017

Robust kernel adaptive filters based on mean p-power error for noisy chaotic time series prediction.
Eng. Appl. Artif. Intell., 2017

State space least p-power filter.
Digit. Signal Process., 2017

Robust Adaptive Volterra Filter Under Maximum Correntropy Criteria in Impulsive Environments.
Circuits Syst. Signal Process., 2017

Associations among Image Assessments as Cost Functions in Linear Decomposition: MSE, SSIM, and Correlation Coefficient.
CoRR, 2017

Maximum Correntropy Adaptive Filtering Approach for Robust Compressive Sensing Reconstruction.
CoRR, 2017

Building Up a Robust Risk Mathematical Platform to Predict Colorectal Cancer.
Complex., 2017

Maximum correntropy Kalman filter.
Autom., 2017

General Mixed-Norm-Based Diffusion Adaptive Filtering Algorithm for Distributed Estimation Over Network.
IEEE Access, 2017

Maximum Correntropy Kalman Filter With State Constraints.
IEEE Access, 2017

Robust 2D point set matching with Kernel mean P-power error loss.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Correntropy induced metric based common spatial patterns.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Random fourier feature kernel recursive least squares.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Kernel least mean square based on conjugate gradient.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Steady-state mean square performance of a sparsified kernel least mean square algorithm.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Bias-compensated normalized least mean absolute deviation algorithm with noisy input.
Proceedings of the 20th International Conference on Information Fusion, 2017

Quaternion least mean kurtosis algorithm for adaptive filtering of 3D and 4D signal processes.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
Low Complexity Distributed Max-Throughput Algorithm for User Association in Heterogeneous Network.
Wirel. Pers. Commun., 2016

Generalized Correntropy for Robust Adaptive Filtering.
IEEE Trans. Signal Process., 2016

Decentralized Dimensionality Reduction for Distributed Tensor Data Across Sensor Networks.
IEEE Trans. Neural Networks Learn. Syst., 2016

Improved-Variable-Forgetting-Factor Recursive Algorithm Based on the Logarithmic Cost for Volterra System Identification.
IEEE Trans. Circuits Syst. II Express Briefs, 2016

Sparse least mean p-power algorithms for channel estimation in the presence of impulsive noise.
Signal Image Video Process., 2016

Convex regularized recursive maximum correntropy algorithm.
Signal Process., 2016

A robust band-dependent variable step size NSAF algorithm against impulsive noises.
Signal Process., 2016

Steady-state mean-square-deviation analysis of the sign subband adaptive filter algorithm.
Signal Process., 2016

Robust MIMO radar target localization via nonconvex optimization.
Signal Process., 2016

Efficient and robust deep learning with Correntropy-induced loss function.
Neural Comput. Appl., 2016

Sparse normalized subband adaptive filter algorithm with <i>l</i><sub>0</sub>-norm constraint.
J. Frankl. Inst., 2016

Collaborative adaptive Volterra filters for nonlinear system identification in <i>α</i>-stable noise environments.
J. Frankl. Inst., 2016

Kernel least mean square with adaptive kernel size.
Neurocomputing, 2016

Correntropy induced joint power and admission control algorithm for dense small cell network.
IET Commun., 2016

Insights into Entropy as a Measure of Multivariate Variability.
Entropy, 2016

Self-organizing kernel adaptive filtering.
EURASIP J. Adv. Signal Process., 2016

Diffusion maximum correntropy criterion algorithms for robust distributed estimation.
Digit. Signal Process., 2016

Two Improved Normalized Subband Adaptive Filter Algorithms with Good Robustness Against Impulsive Interferences.
Circuits Syst. Signal Process., 2016

A New Normalized Subband Adaptive Filter Algorithm with Individual Variable Step Sizes.
Circuits Syst. Signal Process., 2016

Sparse Least Logarithmic Absolute Difference Algorithm with Correntropy-Induced Metric Penalty.
Circuits Syst. Signal Process., 2016

A Novel Normalized Sign Algorithm for System Identification Under Impulsive Noise Interference.
Circuits Syst. Signal Process., 2016

KLMAT: A Kernel Least Mean Absolute Third Algorithm.
CoRR, 2016

Improved functional link artificial neural network via convex combination for nonlinear active noise control.
Appl. Soft Comput., 2016

A reconfigurable parallel FPGA accelerator for the adapt-then-combine diffusion LMS algorithm.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

ADMM for maximum correntropy criterion.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Least mean p-power extreme learning machine for obstacle avoidance of a mobile robot.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Density-dependent quantized kernel least mean square.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A dictionary based survival error compensation for robust adaptive filtering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Extended Kalman filter under maximum correntropy criterion.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Kernel adaptive filtering under generalized Maximum Correntropy Criterion.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Multiple adaptive kernel size KLMS for Beijing PM2.5 prediction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Adaptive convex combination filter under minimum error entropy criterion.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Sex Difference of Saccade Patterns in Emotional Facial Expression Recognition.
Proceedings of the Cognitive Systems and Signal Processing, 2016

A parameter-free Cauchy-Schwartz information measure for independent component analysis.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Kernel adaptive filtering subject to equality function constraints.
Proceedings of the 24th European Signal Processing Conference, 2016

Similarity Learning with Spatial Constraints for Person Re-identification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Developing a robust colorectal cancer (CRC) risk predictive model with the big genetic and environment related CRC data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Theoretical Methods in Machine Learning.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion.
IEEE Signal Process. Lett., 2015

Kernel recursive maximum correntropy.
Signal Process., 2015

Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments.
J. Frankl. Inst., 2015

Sequential extreme learning machine incorporating survival error potential.
Neurocomputing, 2015

Convergence of a Fixed-Point Minimum Error Entropy Algorithm.
Entropy, 2015

Minimum Error Entropy Algorithms with Sparsity Penalty Constraints.
Entropy, 2015

Proportionate Minimum Error Entropy Algorithm for Sparse System Identification.
Entropy, 2015

Robust Hammerstein Adaptive Filtering under Maximum Correntropy Criterion.
Entropy, 2015

Adaptive recursive algorithm with logarithmic transformation for nonlinear system identification in α-stable noise.
Digit. Signal Process., 2015

Smoothed least mean p-power error criterion for adaptive filtering.
Digit. Signal Process., 2015

Sparseness-Controlled Proportionate Affine Projection Sign Algorithms for Acoustic Echo Cancellation.
Circuits Syst. Signal Process., 2015

Set-membership versions of improved normalized subband adaptive filter algorithm for highly noisy system.
CoRR, 2015

Robust diffusion maximum correntropy criterion algorithm for distributed network estimation.
CoRR, 2015

Variable-mixing parameter quantized kernel robust mixed-norm algorithms for combating impulsive interference.
CoRR, 2015

Universal Approximation with Convex Optimization: Gimmick or Reality? [Discussion Forum].
IEEE Comput. Intell. Mag., 2015

fMRI Visual Image Reconstruction Using Sparse Logistic Regression with a Tunable Regularization Parameter.
Proceedings of the Knowledge Science, Engineering and Management, 2015

A switch kernel width method of correntropy for channel estimation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A variable step-size adaptive algorithm under maximum correntropy criterion.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

On initial convergence behavior of the kernel least mean square algorithm.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Exponential C-Loss for data fitting.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

An adaptive kernel width update method of correntropy for channel estimation.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

A dictionary updating scheme incorporating words elimination into Quantized Kernel Least-Mean-Squares for changing environments.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

A reconfigurable parallel FPGA accelerator for the kernel affine projection algorithm.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Sparsity aware normalized least mean p-power algorithms with correntropy induced metric penalty.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Trimmed diffusion least mean squares for distributed estimation.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Robust adaptive sparse channel estimation in the presence of impulsive noises.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Risk-sensitive loss in kernel space for robust adaptive filtering.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Illumination Robust Color Naming via Label Propagation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Sparsity aware minimum error entropy algorithms.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Long-term scalp epileptic EEG quantification with GMA dynamics.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A real-time permutation entropy computation for EEG signals.
Proceedings of the 20th Asia and South Pacific Design Automation Conference, 2015

A 128-way FPGA platform for the acceleration of KLMS algorithm.
Proceedings of the 20th Asia and South Pacific Design Automation Conference, 2015

2014
Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS.
IEEE Trans. Signal Process., 2014

Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion.
IEEE Signal Process. Lett., 2014

An Extended Result on the Optimal Estimation Under the Minimum Error Entropy Criterion.
Entropy, 2014

A Note on the W-S Lower Bound of the MEE Estimation.
Entropy, 2014

Vector quantization using survival Cauchy-Schwartz divergence.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Hardware implementation of KLMS algorithm using FPGA.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Kernel robust mixed-norm adaptive filtering.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Trimmed affine projection algorithms.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Online Nonlinear Granger Causality Detection by Quantized Kernel Least Mean Square.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Sparse kernel recursive least squares using L1 regularization and a fixed-point sub-iteration.
Proceedings of the IEEE International Conference on Acoustics, 2014

Feature selection based on survival Cauchy-Schwartz mutual information.
Proceedings of the IEEE International Conference on Acoustics, 2014

Hybrid affine projection algorithm.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

Empirical survival error potential weighted least squares for binary pattern classification.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

A reconfigurable parallel acceleration platform for evaluation of permutation entropy.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Quantized Kernel Recursive Least Squares Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2013

Fixed budget quantized kernel least-mean-square algorithm.
Signal Process., 2013

Kernel minimum error entropy algorithm.
Neurocomputing, 2013

Kernel adaptive filtering with confidence intervals.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Survival kernel with application to kernel adaptive filtering.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Survival Information Potential: A New Criterion for Adaptive System Training.
IEEE Trans. Signal Process., 2012

Quantized Kernel Least Mean Square Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2012

Maximum Correntropy Estimation Is a Smoothed MAP Estimation.
IEEE Signal Process. Lett., 2012

Mean square convergence analysis for kernel least mean square algorithm.
Signal Process., 2012

A novel extended kernel recursive least squares algorithm.
Neural Networks, 2012

Stochastic Information Gradient Algorithm with Generalized Gaussian Distribution Model.
J. Circuits Syst. Comput., 2012

On the Smoothed Minimum Error Entropy Criterion.
Entropy, 2012

Some Further Results on the Minimum Error Entropy Estimation.
Entropy, 2012

An adaptive kernel width update for correntropy.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Online efficient learning with quantized KLMS and L1 regularization.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Δ-Entropy: Definition, properties and applications in system identification with quantized data.
Inf. Sci., 2011

Extended Kalman filter using a kernel recursive least squares observer.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Kernel adaptive filtering with maximum correntropy criterion.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Mean-square convergence analysis of ADALINE training with minimum error entropy criterion.
IEEE Trans. Neural Networks, 2010

A new interpretation on the MMSE as a robust MEE criterion.
Signal Process., 2010

On optimal estimations with minimum error entropy criterion.
J. Frankl. Inst., 2010

2008
Robust Subspace Clustering by Logarithmic Hyperbolic Cosine Function.
IEEE Signal Process. Lett., 2008

Adaptive filtering under maximum mutual information criterion.
Neurocomputing, 2008

Adaptive filtering for desired error distribution under minimum information divergence criterion.
Proceedings of the International Joint Conference on Neural Networks, 2008

Information Theoretical Approach to Identification of Hybrid Systems.
Proceedings of the Hybrid Systems: Computation and Control, 11th International Workshop, 2008

2007
Measure observability by the generalized informational correlation.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007


  Loading...